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CSV files from World Bank web site includes country meta data file like below.
I will load this file too and merge meta data and pregnant data.
I use read_csv() function to load CSV file into R, then I use rename() function to rename columns and select() function to select needed columns only.
Next, I use inner_join() function to merge two data frames.
Next, let's check indicator_name and indicator_code.
The both variables have only one value, so I can delete them.
It is better to change "region" and "group" into factor.
I replace white space, " " to "_".
Finally, I got a data frame to analyze.
Let's start with summary() function.
Oops! region, group and year are character class.
I need to change them again.
Uhmm.. there remains white spaces. I need to repalce it to "_".
I should use str_replace_all() function.
Good!
Now, I have questions in my mind - Are there differences about "care" among region, group and year?
Next post, I will check that.
That's it. Thank you!
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